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description=Landing page of the HyperSpy project with information on the main features and characteristics, related projects extending the functionality, latest news and possibilities to get support and learn about the project. HyperSpy is an open-source python project to ease analysis and visualization of multi-dimensional datasets;
keywords=HyperSpy, python, numpy, scipy, physics, materials science, semiconductors, scientific data analysis, spectral imaging, spectrum image, hyperspectral, hyperspectrum, hyperspectral imaging, multidimensional, multidimensional data, multi-dimensional data, analysis, visualization, quantification, curve fitting, machine learning, denoising, principal component analysis, RosettaSciIO, eXSpy, pyxem, kikuchipy, LumiSpy, Atomap, holoSpy, ParticleSpy, HyperSpyUI, microscopy, electron microscopy, EELS, electron energy loss spectroscopy, EDX, EDS, energy-disperspive X-ray spectroscopy, 4D-STEM, scanning transmission electron microscopy, EBSD, energy backscatter diffraction, high-resolution electron microscopy, spectroscopy, luminescence spectroscopy, CL, cathodoluminescence, PL, photoluminescence, electron holography, off-axis electron holography, segmentation, particle analysis;

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home hyperspy website skip to main content back to top ctrl k hyperspy receives award for open source research software about news documentation install try github gitter about news documentation install try github gitter open source python framework for exploring visualizing and analyzing multi dimensional data get started visualization interactive visualization tools for multi dimensional spectra and images analysis easy access to analytical tools that exploit the multi dimensionality of datasets including curve fitting and blind source separation named and scaled axes two families of axes signal and navigation with powerful numpy style indexing mechanism and support for non uniform axes performance built on top of numpy scipy numba matplotlib dask and scikit learn for high performance and stability ecosystem domain specific libraries and modular design for easy extensibility community driven developed and maintained by scientists for scientists latest news hyperspy receives open science award for open source research software hyperspy tutorial at dpg spring meeting 2026 hyperspy ecosystem hyperspy generic multi dimensional data analysis toolbox rosettasciio reading and writing scientific data formats exspy x rays energy dispersive spectroscopy eds and electron energy loss spectroscopy eels data analysis pyxem 4d stem electron diffraction data analysis kikuchipy electron backscatter diffraction ebsd data analysis lumispy luminescence spectroscopy data analysis cathodoluminescence photoluminescence raman atomap analysis of atomic resolution scanning transmission electron microscopy images holospy off axis electron holography data analysis particlespy segmentation and analysis of nanoparticles from electron microscopy data etspy processing alignment and reconstruction of electron tomography data hyperspyui streamlined user interface to hyperspy support user guides comprehensive documentation on how to use hyperspy and the various extensions that form the ecosystem tutorials tutorials in the form of jupyter notebooks to demonstrate typical analysis workflows are hosted in dedicated repositories for each library see e g hyperspy demos workshops attend one of the hyperspy workshops organised regularly past and future events can be found under news chat ask the hyperspy community on the gitter chat chat on gitter cite if you use hyperspy and its extensions please cite it in your publications our software is made by scientists who generously donate their time and attention citations help us justify the effort that goes into building and maintaining this project each of our libraries obtains dois from zenodo that can be found in the respective documentations dois for specific versions of hyperspy can be found by clicking on the concept doi button hyperspy doi 10 5281 zenodo 592838 copyright 2007 2026 the hyperspy community created using sphinx 9 1 0 built with the pydata sphinx theme 0 16 1